Shenggan Cheng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
8
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | PPoPP | HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism. | Geng Zhang, Shenggan Cheng, Xuanlei Zhao, Ziming Liu, Yang You |
| 2025 | ASPLOS | Concerto: Automatic Communication Optimization and Scheduling for Large-Scale Deep Learning. | Shenggan Cheng, Shengjie Lin, Lansong Diao, Hao Wu, Siyu Wang, Chang Si, Ziming Liu, Xuanlei Zhao, Jiangsu Du, Wei Lin, Yang You |
| 2025 | ICML | SeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning. | Yong Liu, Di Fu, Shenggan Cheng, Zirui Zhu, Yang Luo, Minhao Cheng, Cho-Jui Hsieh, Yang You |
| 2025 | ICML | DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers. | Xuanlei Zhao, Shenggan Cheng, Chang Chen, Zangwei Zheng, Ziming Liu, Zheming Yang, Yang You |
| 2024 | ICLR | AutoChunk: Automated Activation Chunk for Memory-Efficient Deep Learning Inference. | Xuanlei Zhao, Shenggan Cheng, Guangyang Lu, Haotian Zhou, Bin Jia, Yang You |
| 2024 | PPoPP | FastFold: Optimizing AlphaFold Training and Inference on GPU Clusters. | Shenggan Cheng, Xuanlei Zhao, Guangyang Lu, Jiarui Fang, Tian Zheng, Ruidong Wu, Xiwen Zhang, Jian Peng, Yang You |
| 2024 | PPoPP | Liger: Interleaving Intra- and Inter-Operator Parallelism for Distributed Large Model Inference. | Jiangsu Du, Jinhui Wei, Jiazhi Jiang, Shenggan Cheng, Dan Huang, Zhiguang Chen, Yutong Lu |
| 2023 | SC | Hanayo: Harnessing Wave-like Pipeline Parallelism for Enhanced Large Model Training Efficiency. | Ziming Liu, Shenggan Cheng, Haotian Zhou, Yang You |
| 2021 | CLUSTER | tcFFT: A Fast Half-Precision FFT Library for NVIDIA Tensor Cores. | Bin-Rui Li, Shenggan Cheng, James Lin |
| 2020 | CCGRID | CUBE - Towards an Optimal Scaling of Cosmological N-body Simulations. | Shenggan Cheng, Hao-Ran Yu, Derek Inman, Qiucheng Liao, Qiaoya Wu, James Lin |
| 2020 | ECCV | FTL: A Universal Framework for Training Low-Bit DNNs via Feature Transfer. | Kunyuan Du, Ya Zhang, Haibing Guan, Qi Tian, Yanfeng Wang, Shenggan Cheng, James Lin |